DOIONLINE

DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-17325

Publish In
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC
Journal Home
Volume Issue
Issue
Volume-8,Issue-7  ( Jul, 2020 )
Paper Title
Remote Sensing Image Classification using Artificial Neural Network based BP and RBF
Author Name
Zunjarrao Hemangi Ravindra, K T Jadhao
Affilition
PG Student, Department of Electronics & Communication Engineering, Mumbai University, Alamuriratnamala Institute of Engineering and Technology, A.S.Rao Nagar, Sapgaon, Tal. Shahapur, Dist.Thane-421601, Maharashtra, India Professor, Department of Electronics & Communication Engineering, Mumbai University, Alamuriratnamala Institute of Engineering and Technology, A.S Rao Nagar, Sapgaon, Tal Shahapur, Dist.Thane-421601, Maharashtra, India
Pages
36-39
Abstract
The remote sensing in image classification are most innovative technique. But the basic classification methods do not provide satisfactory results. The major aim is to develop a method which provides better accuracy to the network. Neural networks based BP and RBF network are used to obtain the segmentation and classification of images. The results obtained by BP and RBF network are compared by pixel value and it showing that RBF network provides more accurate result compare to BP network. The overall accuracy provided by RBF network is nearly 94% which is much better as compare to BP network. Keywords - Image Classification, Artificial Neural Network (ANN), BP Network, RBF Network
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